Overview

Brought to you by YData

Dataset statistics

Number of variables111
Number of observations252
Missing cells0
Missing cells (%)0.0%
Total size in memory218.7 KiB
Average record size in memory888.5 B

Variable types

Numeric111

Alerts

Desc_Cargo_AUXILIAR ADMINSTRATIVO has 250 (99.2%) zeros Zeros
Desc_Cargo_AUXILIAR AMBIENTAL has 251 (99.6%) zeros Zeros
Desc_Cargo_AUXILIAR DE SERVICIOS GENERALES has 249 (98.8%) zeros Zeros
Desc_Cargo_CADENERO I has 251 (99.6%) zeros Zeros
Desc_Cargo_CONDUCTOR DE VOLQUETA DAF has 239 (94.8%) zeros Zeros
Desc_Cargo_CONTROLADOR VIAL has 250 (99.2%) zeros Zeros
Desc_Cargo_INGENIERO AUXILIAR has 250 (99.2%) zeros Zeros
Desc_Cargo_INSPECTOR SST I has 250 (99.2%) zeros Zeros
Desc_Cargo_OFICIAL I has 190 (75.4%) zeros Zeros
Desc_Cargo_OFICIAL II has 238 (94.4%) zeros Zeros
Desc_Cargo_OPERADOR DE RETROEXCAVADORA has 251 (99.6%) zeros Zeros
Desc_Cargo_OPERADOR GRUA TELESCOPICA has 251 (99.6%) zeros Zeros
Desc_Cargo_PERFORISTA -LANZADOR has 251 (99.6%) zeros Zeros
Desc_Cargo_SOLDADOR I has 247 (98.0%) zeros Zeros
Desc_Cargo_nan has 251 (99.6%) zeros Zeros
Proyecto_CONTRATO PUENTE CALLE 26 has 241 (95.6%) zeros Zeros
Proyecto_CONTRATO SUBESTRUCTURA S2 has 12 (4.8%) zeros Zeros
Proyecto_nan has 251 (99.6%) zeros Zeros
genero_M has 10 (4.0%) zeros Zeros
genero_nan has 251 (99.6%) zeros Zeros
id_tipo_contrato_1.0 has 251 (99.6%) zeros Zeros
id_tipo_contrato_nan has 251 (99.6%) zeros Zeros
id_estado_civil_1.0 has 239 (94.8%) zeros Zeros
id_estado_civil_2.0 has 143 (56.7%) zeros Zeros
id_estado_civil_5.0 has 126 (50.0%) zeros Zeros
id_estado_civil_7.0 has 249 (98.8%) zeros Zeros
id_estado_civil_nan has 251 (99.6%) zeros Zeros
id_turno_0.0 has 251 (99.6%) zeros Zeros
id_turno_2.0 has 251 (99.6%) zeros Zeros
id_turno_3.0 has 3 (1.2%) zeros Zeros
id_turno_nan has 251 (99.6%) zeros Zeros
NMB_LC_CM_BOSA has 244 (96.8%) zeros Zeros
NMB_LC_CM_CAZUCA has 229 (90.9%) zeros Zeros
NMB_LC_CM_CENTRO has 245 (97.2%) zeros Zeros
NMB_LC_CM_CIUDAD BOLIVAR has 239 (94.8%) zeros Zeros
NMB_LC_CM_COMPARTIR has 235 (93.3%) zeros Zeros
NMB_LC_CM_Comuna No. 09 has 251 (99.6%) zeros Zeros
NMB_LC_CM_ENGATIVA has 251 (99.6%) zeros Zeros
NMB_LC_CM_KENNEDY has 246 (97.6%) zeros Zeros
NMB_LC_CM_LA DESPENSA has 243 (96.4%) zeros Zeros
NMB_LC_CM_PUENTE ARANDA has 120 (47.6%) zeros Zeros
NMB_LC_CM_RAFAEL URIBE URIBE has 250 (99.2%) zeros Zeros
NMB_LC_CM_SAN CRISTOBAL has 251 (99.6%) zeros Zeros
NMB_LC_CM_SAN HUMBERTO has 244 (96.8%) zeros Zeros
NMB_LC_CM_SAN MATEO has 237 (94.0%) zeros Zeros
NMB_LC_CM_SUBA has 245 (97.2%) zeros Zeros
NMB_LC_CM_USAQUEN has 251 (99.6%) zeros Zeros
NMB_LC_CM_nan has 251 (99.6%) zeros Zeros
DENSIDAD has 39 (15.5%) zeros Zeros
TP9_3_USO has 59 (23.4%) zeros Zeros
TP9_2_1_MI has 236 (93.7%) zeros Zeros
TP9_2_3_MI has 187 (74.2%) zeros Zeros
TP9_2_9_MI has 248 (98.4%) zeros Zeros
TP9_3_1_NO has 126 (50.0%) zeros Zeros
TP9_3_2_NO has 168 (66.7%) zeros Zeros
TP9_3_3_NO has 152 (60.3%) zeros Zeros
TP9_3_5_NO has 233 (92.5%) zeros Zeros
TP9_3_6_NO has 203 (80.6%) zeros Zeros
TP9_3_7_NO has 244 (96.8%) zeros Zeros
TP9_3_10_N has 194 (77.0%) zeros Zeros
TP9_3_99_N has 251 (99.6%) zeros Zeros
TP14_1_TIP has 44 (17.5%) zeros Zeros
TP14_3_TIP has 108 (42.9%) zeros Zeros
TP14_5_TIP has 251 (99.6%) zeros Zeros
TP15_3_OCU has 227 (90.1%) zeros Zeros
TP19_EE_2 has 234 (92.9%) zeros Zeros
TP19_EE_E1 has 149 (59.1%) zeros Zeros
TP19_EE_E4 has 208 (82.5%) zeros Zeros
TP19_EE_E9 has 217 (86.1%) zeros Zeros
TP19_ACU_2 has 214 (84.9%) zeros Zeros
TP19_ALC_2 has 200 (79.4%) zeros Zeros
TP19_GAS_2 has 108 (42.9%) zeros Zeros
PERSONAS_S has 39 (15.5%) zeros Zeros
persons_TP51_13_ED has 54 (21.4%) zeros Zeros
persons_TP51SUPERI has 3 (1.2%) zeros Zeros
persons_TP51_99_ED has 36 (14.3%) zeros Zeros
persons_TP34_6_EDA has 8 (3.2%) zeros Zeros
persons_TP34_8_EDA has 45 (17.9%) zeros Zeros
persons_TP34_7_EDA has 21 (8.3%) zeros Zeros
persons_TP34_5_EDA has 10 (4.0%) zeros Zeros
persons_TP34_9_EDA has 60 (23.8%) zeros Zeros
persons_TP34_2_EDA has 3 (1.2%) zeros Zeros
persons_TP34_1_EDA has 4 (1.6%) zeros Zeros
persons_TP51POSTGR has 117 (46.4%) zeros Zeros
houses_TP19_INTE1 has 4 (1.6%) zeros Zeros
houses_TP19_GAS_9 has 178 (70.6%) zeros Zeros
houses_TP19_EE_E2 has 55 (21.8%) zeros Zeros
houses_TP19_EE_E3 has 64 (25.4%) zeros Zeros
houses_TP19_EE_E5 has 231 (91.7%) zeros Zeros
houses_TP19_EE_E6 has 248 (98.4%) zeros Zeros
houses_TP14_2_TIP has 22 (8.7%) zeros Zeros
houses_TP9_2_USO has 117 (46.4%) zeros Zeros
houses_TP14_6_TIP has 233 (92.5%) zeros Zeros
houses_TP15_2_OCU has 208 (82.5%) zeros Zeros
houses_TP14_4_TIP has 250 (99.2%) zeros Zeros
causa_retiro has 143 (56.7%) zeros Zeros

Reproduction

Analysis started2025-09-30 19:40:36.963169
Analysis finished2025-09-30 19:40:37.450641
Duration0.49 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Desc_Cargo_AUXILIAR ADMINSTRATIVO
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007936507937
Minimum0
Maximum1
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:37.512785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean0.007936507937
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum2
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:37.880517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
1 2
 
0.8%
0 250
99.2%

Desc_Cargo_AUXILIAR AMBIENTAL
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:37.943740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:38.006520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0119047619
Minimum0
Maximum1
Zeros249
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.058372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1086733787
Coefficient of variation (CV)9.128563813
Kurtosis80.62663609
Mean0.0119047619
Median Absolute Deviation (MAD)0
Skewness9.054655441
Sum3
Variance0.01180990324
MonotonicityNot monotonic
2025-09-30T14:40:38.133897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 249
98.8%
1 3
 
1.2%
ValueCountFrequency (%)
0 249
98.8%
1 3
 
1.2%
ValueCountFrequency (%)
1 3
 
1.2%
0 249
98.8%

Desc_Cargo_CADENERO I
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.193174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:38.262676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

Desc_Cargo_CONDUCTOR DE VOLQUETA DAF
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05158730159
Minimum0
Maximum1
Zeros239
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.323716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.45
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2216325256
Coefficient of variation (CV)4.296261266
Kurtosis14.75383725
Mean0.05158730159
Median Absolute Deviation (MAD)0
Skewness4.078823708
Sum13
Variance0.04912097641
MonotonicityNot monotonic
2025-09-30T14:40:38.382349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
1 13
 
5.2%
0 239
94.8%

Desc_Cargo_CONTROLADOR VIAL
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007936507937
Minimum0
Maximum1
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.449664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean0.007936507937
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum2
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:38.513376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
1 2
 
0.8%
0 250
99.2%

Desc_Cargo_INGENIERO AUXILIAR
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007936507937
Minimum0
Maximum1
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.581161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean0.007936507937
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum2
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:38.637329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
1 2
 
0.8%
0 250
99.2%

Desc_Cargo_INSPECTOR SST I
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007936507937
Minimum0
Maximum1
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.689080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean0.007936507937
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum2
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:38.769446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
1 2
 
0.8%
0 250
99.2%

Desc_Cargo_OFICIAL I
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.246031746
Minimum0
Maximum1
Zeros190
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.836062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4315543654
Coefficient of variation (CV)1.754059679
Kurtosis-0.5972369587
Mean0.246031746
Median Absolute Deviation (MAD)0
Skewness1.186409039
Sum62
Variance0.1862391703
MonotonicityNot monotonic
2025-09-30T14:40:38.897137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 190
75.4%
1 62
 
24.6%
ValueCountFrequency (%)
0 190
75.4%
1 62
 
24.6%
ValueCountFrequency (%)
1 62
 
24.6%
0 190
75.4%

Desc_Cargo_OFICIAL II
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05555555556
Minimum0
Maximum1
Zeros238
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:38.956136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2295172677
Coefficient of variation (CV)4.131310819
Kurtosis13.34587101
Mean0.05555555556
Median Absolute Deviation (MAD)0
Skewness3.903845706
Sum14
Variance0.05267817618
MonotonicityNot monotonic
2025-09-30T14:40:39.009646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 238
94.4%
1 14
 
5.6%
ValueCountFrequency (%)
0 238
94.4%
1 14
 
5.6%
ValueCountFrequency (%)
1 14
 
5.6%
0 238
94.4%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.077290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:39.147782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

Desc_Cargo_OPERADOR GRUA TELESCOPICA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.210256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:39.293247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

Desc_Cargo_PERFORISTA -LANZADOR
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.362695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:39.430309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

Desc_Cargo_SOLDADOR I
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01984126984
Minimum0
Maximum1
Zeros247
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.485686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.139732152
Coefficient of variation (CV)7.042500461
Kurtosis46.35867768
Mean0.01984126984
Median Absolute Deviation (MAD)0
Skewness6.927539482
Sum5
Variance0.01952507431
MonotonicityNot monotonic
2025-09-30T14:40:39.562309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 247
98.0%
1 5
 
2.0%
ValueCountFrequency (%)
0 247
98.0%
1 5
 
2.0%
ValueCountFrequency (%)
1 5
 
2.0%
0 247
98.0%

Desc_Cargo_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.605515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:39.676011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

Proyecto_CONTRATO PUENTE CALLE 26
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04365079365
Minimum0
Maximum1
Zeros241
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.730708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2047235165
Coefficient of variation (CV)4.690029651
Kurtosis18.34032895
Mean0.04365079365
Median Absolute Deviation (MAD)0
Skewness4.493865755
Sum11
Variance0.04191171821
MonotonicityNot monotonic
2025-09-30T14:40:39.793907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 241
95.6%
1 11
 
4.4%
ValueCountFrequency (%)
0 241
95.6%
1 11
 
4.4%
ValueCountFrequency (%)
1 11
 
4.4%
0 241
95.6%

Proyecto_CONTRATO SUBESTRUCTURA S2
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9523809524
Minimum0
Maximum1
Zeros12
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.847993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2133826541
Coefficient of variation (CV)0.2240517868
Kurtosis16.39725542
Mean0.9523809524
Median Absolute Deviation (MAD)0
Skewness-4.274011886
Sum240
Variance0.04553215709
MonotonicityNot monotonic
2025-09-30T14:40:39.899229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 240
95.2%
0 12
 
4.8%
ValueCountFrequency (%)
0 12
 
4.8%
1 240
95.2%
ValueCountFrequency (%)
1 240
95.2%
0 12
 
4.8%

Proyecto_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:39.949086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:40.011197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

genero_M
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9603174603
Minimum0
Maximum1
Zeros10
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.073312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1956007663
Coefficient of variation (CV)0.2036834426
Kurtosis20.67294283
Mean0.9603174603
Median Absolute Deviation (MAD)0
Skewness-4.744357691
Sum242
Variance0.03825965977
MonotonicityNot monotonic
2025-09-30T14:40:40.133399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 242
96.0%
0 10
 
4.0%
ValueCountFrequency (%)
0 10
 
4.0%
1 242
96.0%
ValueCountFrequency (%)
1 242
96.0%
0 10
 
4.0%

genero_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.194988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:40.250607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_tipo_contrato_1.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.312734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:40.369173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_tipo_contrato_5.0
Real number (ℝ)

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9920634921
Minimum0
Maximum1
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.410114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)0.08962071474
Kurtosis123.467904
Mean0.9920634921
Median Absolute Deviation (MAD)0
Skewness-11.1574205
Sum250
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:40.477767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 250
99.2%
0 2
 
0.8%
ValueCountFrequency (%)
0 2
 
0.8%
1 250
99.2%
ValueCountFrequency (%)
1 250
99.2%
0 2
 
0.8%

id_tipo_contrato_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.522477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:40.839405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_estado_civil_1.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05158730159
Minimum0
Maximum1
Zeros239
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:40.906124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.45
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2216325256
Coefficient of variation (CV)4.296261266
Kurtosis14.75383725
Mean0.05158730159
Median Absolute Deviation (MAD)0
Skewness4.078823708
Sum13
Variance0.04912097641
MonotonicityNot monotonic
2025-09-30T14:40:40.987330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
1 13
 
5.2%
0 239
94.8%

id_estado_civil_2.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4325396825
Minimum0
Maximum1
Zeros143
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.054216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.496414132
Coefficient of variation (CV)1.147673039
Kurtosis-1.940407071
Mean0.4325396825
Median Absolute Deviation (MAD)0
Skewness0.2739648032
Sum109
Variance0.2464269905
MonotonicityNot monotonic
2025-09-30T14:40:41.130811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 143
56.7%
1 109
43.3%
ValueCountFrequency (%)
0 143
56.7%
1 109
43.3%
ValueCountFrequency (%)
1 109
43.3%
0 143
56.7%

id_estado_civil_5.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum1
Zeros126
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.195071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5009950259
Coefficient of variation (CV)1.001990052
Kurtosis-2.016064257
Mean0.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum126
Variance0.2509960159
MonotonicityNot monotonic
2025-09-30T14:40:41.242891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 126
50.0%
1 126
50.0%
ValueCountFrequency (%)
0 126
50.0%
1 126
50.0%
ValueCountFrequency (%)
1 126
50.0%
0 126
50.0%

id_estado_civil_7.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0119047619
Minimum0
Maximum1
Zeros249
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.311219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1086733787
Coefficient of variation (CV)9.128563813
Kurtosis80.62663609
Mean0.0119047619
Median Absolute Deviation (MAD)0
Skewness9.054655441
Sum3
Variance0.01180990324
MonotonicityNot monotonic
2025-09-30T14:40:41.368105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 249
98.8%
1 3
 
1.2%
ValueCountFrequency (%)
0 249
98.8%
1 3
 
1.2%
ValueCountFrequency (%)
1 3
 
1.2%
0 249
98.8%

id_estado_civil_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.439347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:41.504329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_turno_0.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.566867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:41.629509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_turno_2.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.698827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:41.762454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

id_turno_3.0
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9880952381
Minimum0
Maximum1
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.824933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1086733787
Coefficient of variation (CV)0.1099826965
Kurtosis80.62663609
Mean0.9880952381
Median Absolute Deviation (MAD)0
Skewness-9.054655441
Sum249
Variance0.01180990324
MonotonicityNot monotonic
2025-09-30T14:40:41.887051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 249
98.8%
0 3
 
1.2%
ValueCountFrequency (%)
0 3
 
1.2%
1 249
98.8%
ValueCountFrequency (%)
1 249
98.8%
0 3
 
1.2%

id_turno_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:41.955198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:42.016666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

NMB_LC_CM_BOSA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03174603175
Minimum0
Maximum1
Zeros244
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.082062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.175672093
Coefficient of variation (CV)5.533670928
Kurtosis27.09104523
Mean0.03174603175
Median Absolute Deviation (MAD)0
Skewness5.373648051
Sum8
Variance0.03086068425
MonotonicityNot monotonic
2025-09-30T14:40:42.149809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 244
96.8%
1 8
 
3.2%
ValueCountFrequency (%)
0 244
96.8%
1 8
 
3.2%
ValueCountFrequency (%)
1 8
 
3.2%
0 244
96.8%

NMB_LC_CM_CAZUCA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09126984127
Minimum0
Maximum1
Zeros229
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.205055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2885655805
Coefficient of variation (CV)3.161675055
Kurtosis6.203068764
Mean0.09126984127
Median Absolute Deviation (MAD)0
Skewness2.855503413
Sum23
Variance0.08327009423
MonotonicityNot monotonic
2025-09-30T14:40:42.252228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 229
90.9%
1 23
 
9.1%
ValueCountFrequency (%)
0 229
90.9%
1 23
 
9.1%
ValueCountFrequency (%)
1 23
 
9.1%
0 229
90.9%

NMB_LC_CM_CENTRO
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02777777778
Minimum0
Maximum1
Zeros245
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.318790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1646625858
Coefficient of variation (CV)5.927853088
Kurtosis31.67732324
Mean0.02777777778
Median Absolute Deviation (MAD)0
Skewness5.7815198
Sum7
Variance0.02711376715
MonotonicityNot monotonic
2025-09-30T14:40:42.380146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 245
97.2%
1 7
 
2.8%
ValueCountFrequency (%)
0 245
97.2%
1 7
 
2.8%
ValueCountFrequency (%)
1 7
 
2.8%
0 245
97.2%

NMB_LC_CM_CIUDAD BOLIVAR
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05158730159
Minimum0
Maximum1
Zeros239
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.442966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.45
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2216325256
Coefficient of variation (CV)4.296261266
Kurtosis14.75383725
Mean0.05158730159
Median Absolute Deviation (MAD)0
Skewness4.078823708
Sum13
Variance0.04912097641
MonotonicityNot monotonic
2025-09-30T14:40:42.503577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
0 239
94.8%
1 13
 
5.2%
ValueCountFrequency (%)
1 13
 
5.2%
0 239
94.8%

NMB_LC_CM_COMPARTIR
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06746031746
Minimum0
Maximum1
Zeros235
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.566299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2513166492
Coefficient of variation (CV)3.725399742
Kurtosis10.11925176
Mean0.06746031746
Median Absolute Deviation (MAD)0
Skewness3.46972635
Sum17
Variance0.06316005818
MonotonicityNot monotonic
2025-09-30T14:40:42.623233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 235
93.3%
1 17
 
6.7%
ValueCountFrequency (%)
0 235
93.3%
1 17
 
6.7%
ValueCountFrequency (%)
1 17
 
6.7%
0 235
93.3%

NMB_LC_CM_Comuna No. 09
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.684961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:42.741405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

NMB_LC_CM_ENGATIVA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.806679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:42.858348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

NMB_LC_CM_KENNEDY
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02380952381
Minimum0
Maximum1
Zeros246
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:42.920330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.152758733
Coefficient of variation (CV)6.415866786
Kurtosis37.79382897
Mean0.02380952381
Median Absolute Deviation (MAD)0
Skewness6.284419759
Sum6
Variance0.02333523051
MonotonicityNot monotonic
2025-09-30T14:40:42.983420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 246
97.6%
1 6
 
2.4%
ValueCountFrequency (%)
0 246
97.6%
1 6
 
2.4%
ValueCountFrequency (%)
1 6
 
2.4%
0 246
97.6%

NMB_LC_CM_LA DESPENSA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03571428571
Minimum0
Maximum1
Zeros243
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.030884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1859461798
Coefficient of variation (CV)5.206493035
Kurtosis23.52493113
Mean0.03571428571
Median Absolute Deviation (MAD)0
Skewness5.033714599
Sum9
Variance0.03457598179
MonotonicityNot monotonic
2025-09-30T14:40:43.109040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 243
96.4%
1 9
 
3.6%
ValueCountFrequency (%)
0 243
96.4%
1 9
 
3.6%
ValueCountFrequency (%)
1 9
 
3.6%
0 243
96.4%

NMB_LC_CM_PUENTE ARANDA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5238095238
Minimum0
Maximum1
Zeros120
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.164682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5004266819
Coefficient of variation (CV)0.9553600291
Kurtosis-2.006790361
Mean0.5238095238
Median Absolute Deviation (MAD)0
Skewness-0.09591814692
Sum132
Variance0.250426864
MonotonicityNot monotonic
2025-09-30T14:40:43.229787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 132
52.4%
0 120
47.6%
ValueCountFrequency (%)
0 120
47.6%
1 132
52.4%
ValueCountFrequency (%)
1 132
52.4%
0 120
47.6%

NMB_LC_CM_RAFAEL URIBE URIBE
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007936507937
Minimum0
Maximum1
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.294384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08890943922
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean0.007936507937
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum2
Variance0.007904888383
MonotonicityNot monotonic
2025-09-30T14:40:43.354007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
1 2
 
0.8%
ValueCountFrequency (%)
1 2
 
0.8%
0 250
99.2%

NMB_LC_CM_SAN CRISTOBAL
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.414742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:43.472176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

NMB_LC_CM_SAN HUMBERTO
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03174603175
Minimum0
Maximum1
Zeros244
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.533369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.175672093
Coefficient of variation (CV)5.533670928
Kurtosis27.09104523
Mean0.03174603175
Median Absolute Deviation (MAD)0
Skewness5.373648051
Sum8
Variance0.03086068425
MonotonicityNot monotonic
2025-09-30T14:40:43.596169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 244
96.8%
1 8
 
3.2%
ValueCountFrequency (%)
0 244
96.8%
1 8
 
3.2%
ValueCountFrequency (%)
1 8
 
3.2%
0 244
96.8%

NMB_LC_CM_SAN MATEO
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05952380952
Minimum0
Maximum1
Zeros237
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.643894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2370733144
Coefficient of variation (CV)3.982831682
Kurtosis12.12627433
Mean0.05952380952
Median Absolute Deviation (MAD)0
Skewness3.745676742
Sum15
Variance0.0562037564
MonotonicityNot monotonic
2025-09-30T14:40:43.713224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 237
94.0%
1 15
 
6.0%
ValueCountFrequency (%)
0 237
94.0%
1 15
 
6.0%
ValueCountFrequency (%)
1 15
 
6.0%
0 237
94.0%

NMB_LC_CM_SUBA
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02777777778
Minimum0
Maximum1
Zeros245
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.780473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1646625858
Coefficient of variation (CV)5.927853088
Kurtosis31.67732324
Mean0.02777777778
Median Absolute Deviation (MAD)0
Skewness5.7815198
Sum7
Variance0.02711376715
MonotonicityNot monotonic
2025-09-30T14:40:43.860829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 245
97.2%
1 7
 
2.8%
ValueCountFrequency (%)
0 245
97.2%
1 7
 
2.8%
ValueCountFrequency (%)
1 7
 
2.8%
0 245
97.2%

NMB_LC_CM_USAQUEN
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:43.962328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:44.011698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

NMB_LC_CM_nan
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:44.061351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:44.417969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

salario_mes
Real number (ℝ)

Distinct13
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1777024.635
Minimum1300000
Maximum3500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:44.490041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1300000
5-th percentile1423500
Q11423500
median1423500
Q32228170
95-th percentile2300000
Maximum3500000
Range2200000
Interquartile range (IQR)804670

Descriptive statistics

Standard deviation453556.5304
Coefficient of variation (CV)0.2552336763
Kurtosis0.09411911836
Mean1777024.635
Median Absolute Deviation (MAD)0
Skewness0.908662974
Sum447810208
Variance2.057135262 × 1011
MonotonicityNot monotonic
2025-09-30T14:40:44.561632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1423500 142
56.3%
2228170 63
25.0%
1967040 14
 
5.6%
2300000 13
 
5.2%
2842000 5
 
2.0%
1300000 4
 
1.6%
2000000 3
 
1.2%
3100000 2
 
0.8%
3024000 2
 
0.8%
2432608 1
 
0.4%
Other values (3) 3
 
1.2%
ValueCountFrequency (%)
1300000 4
 
1.6%
1423500 142
56.3%
1967040 14
 
5.6%
2000000 3
 
1.2%
2069330 1
 
0.4%
ValueCountFrequency (%)
3500000 1
 
0.4%
3100000 2
 
0.8%
3024000 2
 
0.8%
2842000 5
2.0%
2432608 1
 
0.4%

anios
Real number (ℝ)

Distinct39
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.51984127
Minimum18
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:44.639063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile21
Q127
median32
Q339
95-th percentile52
Maximum59
Range41
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.232046385
Coefficient of variation (CV)0.2754203491
Kurtosis-0.3548448331
Mean33.51984127
Median Absolute Deviation (MAD)6
Skewness0.5934527907
Sum8447
Variance85.23068045
MonotonicityNot monotonic
2025-09-30T14:40:44.730046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
27 16
 
6.3%
23 15
 
6.0%
31 14
 
5.6%
37 13
 
5.2%
25 13
 
5.2%
29 11
 
4.4%
32 10
 
4.0%
30 10
 
4.0%
28 10
 
4.0%
38 9
 
3.6%
Other values (29) 131
52.0%
ValueCountFrequency (%)
18 1
 
0.4%
19 3
 
1.2%
20 8
3.2%
21 4
1.6%
22 5
2.0%
ValueCountFrequency (%)
59 1
 
0.4%
57 1
 
0.4%
55 2
0.8%
54 4
1.6%
53 2
0.8%

DENSIDAD
Real number (ℝ)

Zeros 

Distinct122
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03738630944
Minimum0
Maximum0.150111703
Zeros39
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:44.820408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.006560053875
median0.0275554516
Q30.0558001738
95-th percentile0.1024124045
Maximum0.150111703
Range0.150111703
Interquartile range (IQR)0.04924011992

Descriptive statistics

Standard deviation0.03340106294
Coefficient of variation (CV)0.8934035864
Kurtosis-0.2146885497
Mean0.03738630944
Median Absolute Deviation (MAD)0.0253333552
Skewness0.7729244994
Sum9.421349979
Variance0.001115631005
MonotonicityNot monotonic
2025-09-30T14:40:44.924240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
15.5%
0.0275554516 37
 
14.7%
0.001035356 7
 
2.8%
0.010066466 6
 
2.4%
0.0454924689 4
 
1.6%
0.0338647817 4
 
1.6%
0.0132408605 4
 
1.6%
0.0028598344 4
 
1.6%
0.034051988 3
 
1.2%
0.08583085 3
 
1.2%
Other values (112) 141
56.0%
ValueCountFrequency (%)
0 39
15.5%
0.0001642082 1
 
0.4%
0.000255323 2
 
0.8%
0.0004352539 1
 
0.4%
0.0009776788 2
 
0.8%
ValueCountFrequency (%)
0.150111703 1
 
0.4%
0.1182810578 1
 
0.4%
0.1142910567 1
 
0.4%
0.1093216563 1
 
0.4%
0.1087734393 3
1.2%

TP9_3_USO
Real number (ℝ)

Zeros 

Distinct29
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.071428571
Minimum0
Maximum59
Zeros59
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.014682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q310
95-th percentile26.9
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.15638818
Coefficient of variation (CV)1.382207385
Kurtosis7.632053965
Mean8.071428571
Median Absolute Deviation (MAD)4
Skewness2.547364149
Sum2034
Variance124.4649972
MonotonicityNot monotonic
2025-09-30T14:40:45.098150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 59
23.4%
10 38
15.1%
2 30
11.9%
1 28
11.1%
6 9
 
3.6%
54 7
 
2.8%
3 7
 
2.8%
4 6
 
2.4%
7 6
 
2.4%
24 6
 
2.4%
Other values (19) 56
22.2%
ValueCountFrequency (%)
0 59
23.4%
1 28
11.1%
2 30
11.9%
3 7
 
2.8%
4 6
 
2.4%
ValueCountFrequency (%)
59 1
 
0.4%
54 7
2.8%
32 3
1.2%
30 1
 
0.4%
28 1
 
0.4%

TP9_2_1_MI
Real number (ℝ)

Zeros 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09126984127
Minimum0
Maximum5
Zeros236
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.160711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4322681478
Coefficient of variation (CV)4.736155358
Kurtosis70.42913728
Mean0.09126984127
Median Absolute Deviation (MAD)0
Skewness7.356827452
Sum23
Variance0.1868557516
MonotonicityNot monotonic
2025-09-30T14:40:45.230839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 236
93.7%
1 12
 
4.8%
2 3
 
1.2%
5 1
 
0.4%
ValueCountFrequency (%)
0 236
93.7%
1 12
 
4.8%
2 3
 
1.2%
5 1
 
0.4%
ValueCountFrequency (%)
5 1
 
0.4%
2 3
 
1.2%
1 12
 
4.8%
0 236
93.7%

TP9_2_3_MI
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.373015873
Minimum0
Maximum11
Zeros187
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.307029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9838061464
Coefficient of variation (CV)2.637437754
Kurtosis59.53061574
Mean0.373015873
Median Absolute Deviation (MAD)0
Skewness6.507916041
Sum94
Variance0.9678745336
MonotonicityNot monotonic
2025-09-30T14:40:45.373951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 187
74.2%
1 54
 
21.4%
2 6
 
2.4%
3 2
 
0.8%
5 1
 
0.4%
11 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
0 187
74.2%
1 54
 
21.4%
2 6
 
2.4%
3 2
 
0.8%
5 1
 
0.4%
ValueCountFrequency (%)
11 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
3 2
 
0.8%
2 6
2.4%

TP9_2_9_MI
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01587301587
Minimum0
Maximum1
Zeros248
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.428618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1252329771
Coefficient of variation (CV)7.889677557
Kurtosis59.20810027
Mean0.01587301587
Median Absolute Deviation (MAD)0
Skewness7.793474392
Sum4
Variance0.01568329855
MonotonicityNot monotonic
2025-09-30T14:40:45.485035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 248
98.4%
1 4
 
1.6%
ValueCountFrequency (%)
0 248
98.4%
1 4
 
1.6%
ValueCountFrequency (%)
1 4
 
1.6%
0 248
98.4%

TP9_3_1_NO
Real number (ℝ)

Zeros 

Distinct14
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.380952381
Minimum0
Maximum18
Zeros126
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.548463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q34
95-th percentile12
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.823511127
Coefficient of variation (CV)1.605874673
Kurtosis6.226359805
Mean2.380952381
Median Absolute Deviation (MAD)0.5
Skewness2.417776959
Sum600
Variance14.61923734
MonotonicityNot monotonic
2025-09-30T14:40:45.634024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 126
50.0%
4 43
 
17.1%
1 26
 
10.3%
5 12
 
4.8%
2 12
 
4.8%
3 8
 
3.2%
17 6
 
2.4%
7 5
 
2.0%
12 3
 
1.2%
14 3
 
1.2%
Other values (4) 8
 
3.2%
ValueCountFrequency (%)
0 126
50.0%
1 26
 
10.3%
2 12
 
4.8%
3 8
 
3.2%
4 43
 
17.1%
ValueCountFrequency (%)
18 2
 
0.8%
17 6
2.4%
14 3
1.2%
12 3
1.2%
9 1
 
0.4%

TP9_3_2_NO
Real number (ℝ)

Zeros 

Distinct18
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.98015873
Minimum0
Maximum42
Zeros168
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.709825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile13.45
Maximum42
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.618623856
Coefficient of variation (CV)2.556449017
Kurtosis17.19310349
Mean2.98015873
Median Absolute Deviation (MAD)0
Skewness4.011678326
Sum751
Variance58.04342946
MonotonicityNot monotonic
2025-09-30T14:40:45.801673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 168
66.7%
6 12
 
4.8%
2 10
 
4.0%
1 10
 
4.0%
3 8
 
3.2%
42 7
 
2.8%
4 7
 
2.8%
5 7
 
2.8%
7 6
 
2.4%
13 5
 
2.0%
Other values (8) 12
 
4.8%
ValueCountFrequency (%)
0 168
66.7%
1 10
 
4.0%
2 10
 
4.0%
3 8
 
3.2%
4 7
 
2.8%
ValueCountFrequency (%)
42 7
2.8%
24 1
 
0.4%
19 2
 
0.8%
17 1
 
0.4%
15 1
 
0.4%

TP9_3_3_NO
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.563492063
Minimum0
Maximum21
Zeros152
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:45.871767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.574765782
Coefficient of variation (CV)1.64680451
Kurtosis12.10281419
Mean1.563492063
Median Absolute Deviation (MAD)0
Skewness2.530131518
Sum394
Variance6.629418833
MonotonicityNot monotonic
2025-09-30T14:40:45.942086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 152
60.3%
5 41
 
16.3%
1 24
 
9.5%
2 12
 
4.8%
7 8
 
3.2%
4 6
 
2.4%
3 5
 
2.0%
8 2
 
0.8%
9 1
 
0.4%
21 1
 
0.4%
ValueCountFrequency (%)
0 152
60.3%
1 24
 
9.5%
2 12
 
4.8%
3 5
 
2.0%
4 6
 
2.4%
ValueCountFrequency (%)
21 1
 
0.4%
9 1
 
0.4%
8 2
 
0.8%
7 8
 
3.2%
5 41
16.3%

TP9_3_5_NO
Real number (ℝ)

Zeros 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.130952381
Minimum0
Maximum6
Zeros233
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.008686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5943913537
Coefficient of variation (CV)4.538988519
Kurtosis51.84336185
Mean0.130952381
Median Absolute Deviation (MAD)0
Skewness6.609036934
Sum33
Variance0.3533010814
MonotonicityNot monotonic
2025-09-30T14:40:46.058950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 233
92.5%
1 13
 
5.2%
2 3
 
1.2%
4 2
 
0.8%
6 1
 
0.4%
ValueCountFrequency (%)
0 233
92.5%
1 13
 
5.2%
2 3
 
1.2%
4 2
 
0.8%
6 1
 
0.4%
ValueCountFrequency (%)
6 1
 
0.4%
4 2
 
0.8%
2 3
 
1.2%
1 13
 
5.2%
0 233
92.5%

TP9_3_6_NO
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6865079365
Minimum0
Maximum48
Zeros203
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.117737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.408586607
Coefficient of variation (CV)4.965108815
Kurtosis152.0656455
Mean0.6865079365
Median Absolute Deviation (MAD)0
Skewness11.48194321
Sum173
Variance11.61846266
MonotonicityNot monotonic
2025-09-30T14:40:46.182015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 203
80.6%
2 20
 
7.9%
1 17
 
6.7%
3 3
 
1.2%
4 3
 
1.2%
7 2
 
0.8%
6 1
 
0.4%
48 1
 
0.4%
8 1
 
0.4%
19 1
 
0.4%
ValueCountFrequency (%)
0 203
80.6%
1 17
 
6.7%
2 20
 
7.9%
3 3
 
1.2%
4 3
 
1.2%
ValueCountFrequency (%)
48 1
0.4%
19 1
0.4%
8 1
0.4%
7 2
0.8%
6 1
0.4%

TP9_3_7_NO
Real number (ℝ)

Zeros 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06746031746
Minimum0
Maximum6
Zeros244
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.228650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4717230204
Coefficient of variation (CV)6.992600067
Kurtosis107.6824636
Mean0.06746031746
Median Absolute Deviation (MAD)0
Skewness9.626514262
Sum17
Variance0.222522608
MonotonicityNot monotonic
2025-09-30T14:40:46.301524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 244
96.8%
1 4
 
1.6%
2 2
 
0.8%
6 1
 
0.4%
3 1
 
0.4%
ValueCountFrequency (%)
0 244
96.8%
1 4
 
1.6%
2 2
 
0.8%
3 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
6 1
 
0.4%
3 1
 
0.4%
2 2
 
0.8%
1 4
 
1.6%
0 244
96.8%

TP9_3_10_N
Real number (ℝ)

Zeros 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2579365079
Minimum0
Maximum3
Zeros194
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.349571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5213915146
Coefficient of variation (CV)2.021394795
Kurtosis7.788302895
Mean0.2579365079
Median Absolute Deviation (MAD)0
Skewness2.433116804
Sum65
Variance0.2718491115
MonotonicityNot monotonic
2025-09-30T14:40:46.404404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 194
77.0%
1 54
 
21.4%
3 3
 
1.2%
2 1
 
0.4%
ValueCountFrequency (%)
0 194
77.0%
1 54
 
21.4%
2 1
 
0.4%
3 3
 
1.2%
ValueCountFrequency (%)
3 3
 
1.2%
2 1
 
0.4%
1 54
 
21.4%
0 194
77.0%

TP9_3_99_N
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.451894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:46.542350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

TP14_1_TIP
Real number (ℝ)

Zeros 

Distinct56
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.59126984
Minimum0
Maximum486
Zeros44
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.635355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median13
Q326.25
95-th percentile58
Maximum486
Range486
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation44.00601647
Coefficient of variation (CV)1.947921333
Kurtosis62.57668818
Mean22.59126984
Median Absolute Deviation (MAD)9
Skewness7.118588159
Sum5693
Variance1936.529485
MonotonicityNot monotonic
2025-09-30T14:40:46.733982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
17.5%
13 41
 
16.3%
12 12
 
4.8%
16 9
 
3.6%
4 8
 
3.2%
27 7
 
2.8%
7 7
 
2.8%
22 7
 
2.8%
6 6
 
2.4%
19 6
 
2.4%
Other values (46) 105
41.7%
ValueCountFrequency (%)
0 44
17.5%
1 4
 
1.6%
2 1
 
0.4%
3 3
 
1.2%
4 8
 
3.2%
ValueCountFrequency (%)
486 1
 
0.4%
310 2
0.8%
166 1
 
0.4%
88 4
1.6%
65 2
0.8%

TP14_3_TIP
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.615079365
Minimum0
Maximum33
Zeros108
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.808290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q310.25
95-th percentile17
Maximum33
Range33
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.323395545
Coefficient of variation (CV)1.304237228
Kurtosis0.003362385698
Mean5.615079365
Median Absolute Deviation (MAD)1.5
Skewness1.099176524
Sum1415
Variance53.6321223
MonotonicityNot monotonic
2025-09-30T14:40:46.894287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 108
42.9%
17 41
 
16.3%
1 18
 
7.1%
4 15
 
6.0%
2 11
 
4.4%
3 10
 
4.0%
7 7
 
2.8%
5 6
 
2.4%
9 5
 
2.0%
16 4
 
1.6%
Other values (14) 27
 
10.7%
ValueCountFrequency (%)
0 108
42.9%
1 18
 
7.1%
2 11
 
4.4%
3 10
 
4.0%
4 15
 
6.0%
ValueCountFrequency (%)
33 1
 
0.4%
28 1
 
0.4%
23 1
 
0.4%
22 2
0.8%
21 3
1.2%

TP14_5_TIP
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003968253968
Minimum0
Maximum1
Zeros251
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:46.967866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06299407883
Coefficient of variation (CV)15.87450787
Kurtosis252
Mean0.003968253968
Median Absolute Deviation (MAD)0
Skewness15.87450787
Sum1
Variance0.003968253968
MonotonicityNot monotonic
2025-09-30T14:40:47.039820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
99.6%
1 1
 
0.4%
ValueCountFrequency (%)
1 1
 
0.4%
0 251
99.6%

TP15_3_OCU
Real number (ℝ)

Zeros 

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2777777778
Minimum0
Maximum10
Zeros227
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.108885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.45
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.240992335
Coefficient of variation (CV)4.467572404
Kurtosis42.58849826
Mean0.2777777778
Median Absolute Deviation (MAD)0
Skewness6.30476172
Sum70
Variance1.540061974
MonotonicityNot monotonic
2025-09-30T14:40:47.168198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 227
90.1%
1 12
 
4.8%
2 6
 
2.4%
3 3
 
1.2%
9 3
 
1.2%
10 1
 
0.4%
ValueCountFrequency (%)
0 227
90.1%
1 12
 
4.8%
2 6
 
2.4%
3 3
 
1.2%
9 3
 
1.2%
ValueCountFrequency (%)
10 1
 
0.4%
9 3
 
1.2%
3 3
 
1.2%
2 6
2.4%
1 12
4.8%

TP19_EE_2
Real number (ℝ)

Zeros 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1150793651
Minimum0
Maximum6
Zeros234
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.234237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5268212516
Coefficient of variation (CV)4.577895014
Kurtosis67.2355472
Mean0.1150793651
Median Absolute Deviation (MAD)0
Skewness7.211655822
Sum29
Variance0.2775406311
MonotonicityNot monotonic
2025-09-30T14:40:47.296268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 234
92.9%
1 12
 
4.8%
2 4
 
1.6%
3 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
0 234
92.9%
1 12
 
4.8%
2 4
 
1.6%
3 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
6 1
 
0.4%
3 1
 
0.4%
2 4
 
1.6%
1 12
 
4.8%
0 234
92.9%

TP19_EE_E1
Real number (ℝ)

Zeros 

Distinct32
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.646825397
Minimum0
Maximum65
Zeros149
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.367222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile40.9
Maximum65
Range65
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.52337535
Coefficient of variation (CV)2.217772725
Kurtosis6.32450973
Mean5.646825397
Median Absolute Deviation (MAD)0
Skewness2.621040119
Sum1423
Variance156.8349301
MonotonicityNot monotonic
2025-09-30T14:40:47.479566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 149
59.1%
1 23
 
9.1%
2 16
 
6.3%
3 11
 
4.4%
7 5
 
2.0%
19 4
 
1.6%
49 4
 
1.6%
18 3
 
1.2%
25 3
 
1.2%
4 3
 
1.2%
Other values (22) 31
 
12.3%
ValueCountFrequency (%)
0 149
59.1%
1 23
 
9.1%
2 16
 
6.3%
3 11
 
4.4%
4 3
 
1.2%
ValueCountFrequency (%)
65 1
 
0.4%
60 1
 
0.4%
50 1
 
0.4%
49 4
1.6%
44 1
 
0.4%

TP19_EE_E4
Real number (ℝ)

Zeros 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1825396825
Minimum0
Maximum2
Zeros208
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.553798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4071236908
Coefficient of variation (CV)2.230329784
Kurtosis3.024804123
Mean0.1825396825
Median Absolute Deviation (MAD)0
Skewness2.004649749
Sum46
Variance0.1657496996
MonotonicityNot monotonic
2025-09-30T14:40:47.640956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 208
82.5%
1 42
 
16.7%
2 2
 
0.8%
ValueCountFrequency (%)
0 208
82.5%
1 42
 
16.7%
2 2
 
0.8%
ValueCountFrequency (%)
2 2
 
0.8%
1 42
 
16.7%
0 208
82.5%

TP19_EE_E9
Real number (ℝ)

Zeros 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1468253968
Minimum0
Maximum2
Zeros217
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.719817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.376434628
Coefficient of variation (CV)2.563825034
Kurtosis5.330880736
Mean0.1468253968
Median Absolute Deviation (MAD)0
Skewness2.449508075
Sum37
Variance0.1417030292
MonotonicityNot monotonic
2025-09-30T14:40:47.812080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 217
86.1%
1 33
 
13.1%
2 2
 
0.8%
ValueCountFrequency (%)
0 217
86.1%
1 33
 
13.1%
2 2
 
0.8%
ValueCountFrequency (%)
2 2
 
0.8%
1 33
 
13.1%
0 217
86.1%

TP19_ACU_2
Real number (ℝ)

Zeros 

Distinct14
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.170634921
Minimum0
Maximum64
Zeros214
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:47.888410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.067240326
Coefficient of variation (CV)5.182862923
Kurtosis66.33635908
Mean1.170634921
Median Absolute Deviation (MAD)0
Skewness7.745842624
Sum295
Variance36.81140517
MonotonicityNot monotonic
2025-09-30T14:40:47.964377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 214
84.9%
1 12
 
4.8%
2 11
 
4.4%
5 4
 
1.6%
4 2
 
0.8%
49 1
 
0.4%
35 1
 
0.4%
14 1
 
0.4%
8 1
 
0.4%
3 1
 
0.4%
Other values (4) 4
 
1.6%
ValueCountFrequency (%)
0 214
84.9%
1 12
 
4.8%
2 11
 
4.4%
3 1
 
0.4%
4 2
 
0.8%
ValueCountFrequency (%)
64 1
0.4%
49 1
0.4%
35 1
0.4%
31 1
0.4%
18 1
0.4%

TP19_ALC_2
Real number (ℝ)

Zeros 

Distinct16
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.28968254
Minimum0
Maximum66
Zeros200
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:48.037649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.45
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.096126775
Coefficient of variation (CV)4.726842914
Kurtosis70.10241648
Mean1.28968254
Median Absolute Deviation (MAD)0
Skewness7.869332451
Sum325
Variance37.16276165
MonotonicityNot monotonic
2025-09-30T14:40:48.137543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 200
79.4%
1 28
 
11.1%
2 5
 
2.0%
5 3
 
1.2%
18 2
 
0.8%
9 2
 
0.8%
3 2
 
0.8%
6 2
 
0.8%
13 1
 
0.4%
15 1
 
0.4%
Other values (6) 6
 
2.4%
ValueCountFrequency (%)
0 200
79.4%
1 28
 
11.1%
2 5
 
2.0%
3 2
 
0.8%
4 1
 
0.4%
ValueCountFrequency (%)
66 1
0.4%
49 1
0.4%
38 1
0.4%
18 2
0.8%
15 1
0.4%

TP19_GAS_2
Real number (ℝ)

Zeros 

Distinct19
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.142857143
Minimum0
Maximum89
Zeros108
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:48.211595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.25
95-th percentile25
Maximum89
Range89
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation10.56508139
Coefficient of variation (CV)1.719896971
Kurtosis14.30806275
Mean6.142857143
Median Absolute Deviation (MAD)1
Skewness2.833252972
Sum1548
Variance111.6209448
MonotonicityNot monotonic
2025-09-30T14:40:48.709667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 108
42.9%
25 37
 
14.7%
1 37
 
14.7%
3 21
 
8.3%
5 8
 
3.2%
2 8
 
3.2%
8 6
 
2.4%
13 4
 
1.6%
15 4
 
1.6%
4 4
 
1.6%
Other values (9) 15
 
6.0%
ValueCountFrequency (%)
0 108
42.9%
1 37
 
14.7%
2 8
 
3.2%
3 21
 
8.3%
4 4
 
1.6%
ValueCountFrequency (%)
89 1
 
0.4%
30 1
 
0.4%
29 2
 
0.8%
25 37
14.7%
21 1
 
0.4%

PERSONAS_S
Real number (ℝ)

Zeros 

Distinct105
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.3214286
Minimum0
Maximum3822
Zeros39
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:48.806259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.75
median124
Q3168
95-th percentile445.4
Maximum3822
Range3822
Interquartile range (IQR)133.25

Descriptive statistics

Standard deviation457.398616
Coefficient of variation (CV)2.329845597
Kurtosis43.07700508
Mean196.3214286
Median Absolute Deviation (MAD)57
Skewness6.259077567
Sum49473
Variance209213.4939
MonotonicityNot monotonic
2025-09-30T14:40:48.923799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
15.5%
168 37
 
14.7%
21 7
 
2.8%
116 6
 
2.4%
77 6
 
2.4%
124 5
 
2.0%
25 5
 
2.0%
67 4
 
1.6%
58 4
 
1.6%
265 4
 
1.6%
Other values (95) 135
53.6%
ValueCountFrequency (%)
0 39
15.5%
6 2
 
0.8%
15 1
 
0.4%
18 3
 
1.2%
21 7
 
2.8%
ValueCountFrequency (%)
3822 2
0.8%
3481 1
0.4%
2151 1
0.4%
1938 1
0.4%
1859 1
0.4%

permanencia
Real number (ℝ)

Distinct112
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.68444444
Minimum1
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:49.036583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.55
Q146.75
median83.68444444
Q3115.75
95-th percentile177
Maximum244
Range243
Interquartile range (IQR)69

Descriptive statistics

Standard deviation50.8078403
Coefficient of variation (CV)0.6071360171
Kurtosis-0.209461217
Mean83.68444444
Median Absolute Deviation (MAD)35.31555556
Skewness0.5046259397
Sum21088.48
Variance2581.436636
MonotonicityNot monotonic
2025-09-30T14:40:49.144615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.68444444 27
 
10.7%
120 7
 
2.8%
87 7
 
2.8%
66 6
 
2.4%
82 5
 
2.0%
26 5
 
2.0%
56 5
 
2.0%
7 5
 
2.0%
169 4
 
1.6%
61 4
 
1.6%
Other values (102) 177
70.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
ValueCountFrequency (%)
244 1
 
0.4%
211 1
 
0.4%
198 2
0.8%
197 3
1.2%
196 1
 
0.4%

persons_TP51_13_ED
Real number (ℝ)

Zeros 

Distinct103
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0159144668
Minimum0
Maximum0.1346153846
Zeros54
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:49.231643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.006211180124
median0.01534073023
Q30.01838742653
95-th percentile0.04419889503
Maximum0.1346153846
Range0.1346153846
Interquartile range (IQR)0.0121762464

Descriptive statistics

Standard deviation0.01507144488
Coefficient of variation (CV)0.9470279508
Kurtosis15.18444038
Mean0.0159144668
Median Absolute Deviation (MAD)0.006365060713
Skewness2.641677396
Sum4.010445632
Variance0.0002271484507
MonotonicityNot monotonic
2025-09-30T14:40:49.345048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
21.4%
0.01785714286 40
 
15.9%
0.01388888889 9
 
3.6%
0.01333333333 5
 
2.0%
0.008620689655 4
 
1.6%
0.01886792453 4
 
1.6%
0.0162601626 4
 
1.6%
0.01160092807 4
 
1.6%
0.01986754967 3
 
1.2%
0.05882352941 3
 
1.2%
Other values (93) 122
48.4%
ValueCountFrequency (%)
0 54
21.4%
0.003460207612 1
 
0.4%
0.003921568627 1
 
0.4%
0.005102040816 1
 
0.4%
0.005617977528 1
 
0.4%
ValueCountFrequency (%)
0.1346153846 1
 
0.4%
0.05882352941 3
1.2%
0.05714285714 1
 
0.4%
0.05434782609 1
 
0.4%
0.05357142857 1
 
0.4%

persons_TP51SUPERI
Real number (ℝ)

Zeros 

Distinct131
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1973947086
Minimum0
Maximum0.5333333333
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:49.447562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05431818182
Q10.09720919325
median0.2076642564
Q30.2738095238
95-th percentile0.3653463452
Maximum0.5333333333
Range0.5333333333
Interquartile range (IQR)0.1766003306

Descriptive statistics

Standard deviation0.1019633989
Coefficient of variation (CV)0.5165457556
Kurtosis0.06874873286
Mean0.1973947086
Median Absolute Deviation (MAD)0.06614526738
Skewness0.3428277492
Sum49.74346657
Variance0.01039653472
MonotonicityNot monotonic
2025-09-30T14:40:49.543993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2738095238 37
 
14.7%
0.09090909091 9
 
3.6%
0.09523809524 7
 
2.8%
0.2207792208 6
 
2.4%
0.06060606061 6
 
2.4%
0.2444444444 5
 
2.0%
0.2714617169 4
 
1.6%
0.28 4
 
1.6%
0.1735849057 4
 
1.6%
0.08966451733 4
 
1.6%
Other values (121) 166
65.9%
ValueCountFrequency (%)
0 3
1.2%
0.01612903226 3
1.2%
0.01960784314 1
 
0.4%
0.02803738318 1
 
0.4%
0.03571428571 1
 
0.4%
ValueCountFrequency (%)
0.5333333333 1
 
0.4%
0.4949494949 1
 
0.4%
0.4655172414 4
1.6%
0.4354679803 2
0.8%
0.3888888889 2
0.8%

persons_TP51SECUND
Real number (ℝ)

Distinct130
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4246980546
Minimum0.2272727273
Maximum0.6666666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:49.638711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.2272727273
5-th percentile0.3257536383
Q10.369047619
median0.428030303
Q30.4674265951
95-th percentile0.5525
Maximum0.6666666667
Range0.4393939394
Interquartile range (IQR)0.0983789761

Descriptive statistics

Standard deviation0.07309681963
Coefficient of variation (CV)0.1721147974
Kurtosis1.013986709
Mean0.4246980546
Median Absolute Deviation (MAD)0.04724774339
Skewness0.1397798709
Sum107.0239098
Variance0.005343145039
MonotonicityNot monotonic
2025-09-30T14:40:49.718936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.369047619 37
 
14.7%
0.3333333333 8
 
3.2%
0.4675324675 6
 
2.4%
0.428030303 6
 
2.4%
0.4545454545 5
 
2.0%
0.5 5
 
2.0%
0.4533333333 5
 
2.0%
0.5700401832 4
 
1.6%
0.2672413793 4
 
1.6%
0.3924528302 4
 
1.6%
Other values (120) 168
66.7%
ValueCountFrequency (%)
0.2272727273 1
 
0.4%
0.24 4
1.6%
0.2537313433 1
 
0.4%
0.2672413793 4
1.6%
0.2729064039 2
0.8%
ValueCountFrequency (%)
0.6666666667 2
0.8%
0.6206896552 1
 
0.4%
0.6144578313 2
0.8%
0.5833333333 1
 
0.4%
0.5700401832 4
1.6%

persons_TP51PRIMAR
Real number (ℝ)

Distinct130
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2357442425
Minimum0
Maximum0.5416666667
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:49.807273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09746707194
Q10.1832946636
median0.2264537265
Q30.28
95-th percentile0.3924719888
Maximum0.5416666667
Range0.5416666667
Interquartile range (IQR)0.09670533643

Descriptive statistics

Standard deviation0.08383975165
Coefficient of variation (CV)0.3556385969
Kurtosis0.6644712212
Mean0.2357442425
Median Absolute Deviation (MAD)0.0504138457
Skewness0.2022112605
Sum59.40754912
Variance0.007029103956
MonotonicityNot monotonic
2025-09-30T14:40:49.922132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2142857143 37
 
14.7%
0.09523809524 7
 
2.8%
0.2727272727 7
 
2.8%
0.2714646465 6
 
2.4%
0.1551724138 5
 
2.0%
0.1022222222 5
 
2.0%
0.1363636364 5
 
2.0%
0.1492851135 4
 
1.6%
0.3283018868 4
 
1.6%
0.28 4
 
1.6%
Other values (120) 168
66.7%
ValueCountFrequency (%)
0 2
 
0.8%
0.04347826087 1
 
0.4%
0.05555555556 2
 
0.8%
0.06666666667 1
 
0.4%
0.09523809524 7
2.8%
ValueCountFrequency (%)
0.5416666667 1
0.4%
0.4444444444 1
0.4%
0.4411764706 1
0.4%
0.4310344828 2
0.8%
0.4299065421 1
0.4%

persons_TP51_99_ED
Real number (ℝ)

Zeros 

Distinct98
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05326453339
Minimum0
Maximum0.3333333333
Zeros36
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:50.025032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01181691612
median0.02982154503
Q30.06547619048
95-th percentile0.2272727273
Maximum0.3333333333
Range0.3333333333
Interquartile range (IQR)0.05365927436

Descriptive statistics

Standard deviation0.07114693484
Coefficient of variation (CV)1.335728116
Kurtosis6.811023119
Mean0.05326453339
Median Absolute Deviation (MAD)0.02638888889
Skewness2.536457617
Sum13.42266241
Variance0.005061886338
MonotonicityNot monotonic
2025-09-30T14:40:50.141116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06547619048 37
 
14.7%
0 36
 
14.3%
0.3333333333 9
 
3.6%
0.01724137931 6
 
2.4%
0.02597402597 6
 
2.4%
0.1515151515 6
 
2.4%
0.06782608696 5
 
2.0%
0.2272727273 5
 
2.0%
0.1244444444 5
 
2.0%
0.04 4
 
1.6%
Other values (88) 133
52.8%
ValueCountFrequency (%)
0 36
14.3%
0.002777777778 1
 
0.4%
0.004291845494 1
 
0.4%
0.004491017964 1
 
0.4%
0.005617977528 1
 
0.4%
ValueCountFrequency (%)
0.3333333333 9
3.6%
0.2272727273 5
2.0%
0.16 4
1.6%
0.1515151515 6
2.4%
0.1381381381 2
 
0.8%

persons_TP34_6_EDA
Real number (ℝ)

Zeros 

Distinct125
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1158306744
Minimum0
Maximum0.3333333333
Zeros8
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:50.247259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05735294118
Q10.09090909091
median0.119047619
Q30.1369819389
95-th percentile0.1757349896
Maximum0.3333333333
Range0.3333333333
Interquartile range (IQR)0.04607284804

Descriptive statistics

Standard deviation0.04416307116
Coefficient of variation (CV)0.3812726756
Kurtosis5.660863288
Mean0.1158306744
Median Absolute Deviation (MAD)0.02164502165
Skewness0.8822621726
Sum29.18932996
Variance0.001950376854
MonotonicityNot monotonic
2025-09-30T14:40:50.349539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.119047619 37
 
14.7%
0 8
 
3.2%
0.16 7
 
2.8%
0.1428571429 7
 
2.8%
0.1022727273 6
 
2.4%
0.08 5
 
2.0%
0.1206896552 5
 
2.0%
0.09090909091 5
 
2.0%
0.1396226415 4
 
1.6%
0.173021213 4
 
1.6%
Other values (115) 164
65.1%
ValueCountFrequency (%)
0 8
3.2%
0.032 1
 
0.4%
0.0431372549 1
 
0.4%
0.04901960784 1
 
0.4%
0.05405405405 1
 
0.4%
ValueCountFrequency (%)
0.3333333333 2
0.8%
0.3043478261 1
0.4%
0.2352941176 1
0.4%
0.2051282051 1
0.4%
0.2010582011 1
0.4%

persons_TP34_8_EDA
Real number (ℝ)

Zeros 

Distinct106
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03071452541
Minimum0
Maximum0.12
Zeros45
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:50.465562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01116718064
median0.02968474704
Q30.04761904762
95-th percentile0.06734848485
Maximum0.12
Range0.12
Interquartile range (IQR)0.03645186698

Descriptive statistics

Standard deviation0.02378524804
Coefficient of variation (CV)0.7743973809
Kurtosis1.53225469
Mean0.03071452541
Median Absolute Deviation (MAD)0.01793430058
Skewness0.8296465894
Sum7.740060405
Variance0.0005657380242
MonotonicityNot monotonic
2025-09-30T14:40:50.572133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
17.9%
0.04761904762 37
 
14.7%
0.04 8
 
3.2%
0.01298701299 6
 
2.4%
0.01333333333 5
 
2.0%
0.06034482759 4
 
1.6%
0.12 4
 
1.6%
0.01116718064 4
 
1.6%
0.03225806452 4
 
1.6%
0.01886792453 4
 
1.6%
Other values (96) 131
52.0%
ValueCountFrequency (%)
0 45
17.9%
0.006493506494 2
 
0.8%
0.007246376812 1
 
0.4%
0.00826446281 1
 
0.4%
0.009345794393 1
 
0.4%
ValueCountFrequency (%)
0.12 4
1.6%
0.0962962963 1
 
0.4%
0.07692307692 1
 
0.4%
0.07352941176 1
 
0.4%
0.07317073171 1
 
0.4%

persons_TP34_7_EDA
Real number (ℝ)

Zeros 

Distinct118
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06019104766
Minimum0
Maximum0.2
Zeros21
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:50.676052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04041666667
median0.06626175405
Q30.07738095238
95-th percentile0.1029619805
Maximum0.2
Range0.2
Interquartile range (IQR)0.03696428571

Descriptive statistics

Standard deviation0.03182190079
Coefficient of variation (CV)0.5286816235
Kurtosis1.323670608
Mean0.06019104766
Median Absolute Deviation (MAD)0.01456635175
Skewness0.1280387757
Sum15.16814401
Variance0.00101263337
MonotonicityNot monotonic
2025-09-30T14:40:50.786039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07738095238 37
 
14.7%
0 21
 
8.3%
0.01388888889 8
 
3.2%
0.07792207792 6
 
2.4%
0.08620689655 5
 
2.0%
0.01333333333 5
 
2.0%
0.07547169811 5
 
2.0%
0.05882352941 4
 
1.6%
0.06578947368 4
 
1.6%
0.08 4
 
1.6%
Other values (108) 153
60.7%
ValueCountFrequency (%)
0 21
8.3%
0.009803921569 1
 
0.4%
0.01333333333 5
 
2.0%
0.01388888889 8
 
3.2%
0.01470588235 1
 
0.4%
ValueCountFrequency (%)
0.2 1
0.4%
0.1590909091 2
0.8%
0.1343283582 1
0.4%
0.1290322581 1
0.4%
0.1234567901 1
0.4%

persons_TP34_3_EDA
Real number (ℝ)

Distinct129
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2162997347
Minimum0.08
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:50.886069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.1358490566
Q10.1758241758
median0.2179979519
Q30.2308708039
95-th percentile0.333847304
Maximum0.5
Range0.42
Interquartile range (IQR)0.05504662809

Descriptive statistics

Standard deviation0.06615935245
Coefficient of variation (CV)0.3058688562
Kurtosis3.78735879
Mean0.2162997347
Median Absolute Deviation (MAD)0.02984929509
Skewness1.436844977
Sum54.50753314
Variance0.004377059916
MonotonicityNot monotonic
2025-09-30T14:40:50.986094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2202380952 37
 
14.7%
0.3333333333 8
 
3.2%
0.25 7
 
2.8%
0.1688311688 6
 
2.4%
0.220959596 6
 
2.4%
0.2272727273 5
 
2.0%
0.4155555556 5
 
2.0%
0.333847304 4
 
1.6%
0.1358490566 4
 
1.6%
0.08 4
 
1.6%
Other values (119) 166
65.9%
ValueCountFrequency (%)
0.08 4
1.6%
0.09090909091 3
1.2%
0.1 1
 
0.4%
0.1290322581 1
 
0.4%
0.1304347826 1
 
0.4%
ValueCountFrequency (%)
0.5 2
 
0.8%
0.4666666667 1
 
0.4%
0.4155555556 5
2.0%
0.3913043478 1
 
0.4%
0.3382352941 1
 
0.4%

persons_TP34_5_EDA
Real number (ℝ)

Zeros 

Distinct122
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1172338859
Minimum0
Maximum0.2666666667
Zeros10
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:51.074620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04122073579
Q10.1029411765
median0.1111111111
Q30.1422222222
95-th percentile0.1817149826
Maximum0.2666666667
Range0.2666666667
Interquartile range (IQR)0.03928104575

Descriptive statistics

Standard deviation0.04044271614
Coefficient of variation (CV)0.3449746275
Kurtosis1.842562137
Mean0.1172338859
Median Absolute Deviation (MAD)0.0231990232
Skewness-0.5789130533
Sum29.54293926
Variance0.001635613289
MonotonicityNot monotonic
2025-09-30T14:40:51.175279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1071428571 38
 
15.1%
0 10
 
4.0%
0.1628787879 6
 
2.4%
0.1558441558 6
 
2.4%
0.16 5
 
2.0%
0.1422222222 5
 
2.0%
0.1818181818 5
 
2.0%
0.1056603774 4
 
1.6%
0.1044776119 4
 
1.6%
0.1465517241 4
 
1.6%
Other values (112) 165
65.5%
ValueCountFrequency (%)
0 10
4.0%
0.02352941176 1
 
0.4%
0.03571428571 1
 
0.4%
0.03846153846 1
 
0.4%
0.04347826087 1
 
0.4%
ValueCountFrequency (%)
0.2666666667 1
0.4%
0.2045454545 2
0.8%
0.1878453039 2
0.8%
0.1863354037 2
0.8%
0.1857142857 1
0.4%

persons_TP34_9_EDA
Real number (ℝ)

Zeros 

Distinct100
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01628848908
Minimum0
Maximum0.1111111111
Zeros60
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:51.280952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0027100271
median0.01298701299
Q30.02380952381
95-th percentile0.04347826087
Maximum0.1111111111
Range0.1111111111
Interquartile range (IQR)0.02109949671

Descriptive statistics

Standard deviation0.01590038351
Coefficient of variation (CV)0.9761730159
Kurtosis5.374545629
Mean0.01628848908
Median Absolute Deviation (MAD)0.01082251082
Skewness1.662788524
Sum4.104699248
Variance0.0002528221957
MonotonicityNot monotonic
2025-09-30T14:40:51.375871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
23.8%
0.02380952381 37
 
14.7%
0.01298701299 6
 
2.4%
0.007547169811 4
 
1.6%
0.04 4
 
1.6%
0.02985074627 4
 
1.6%
0.0027100271 4
 
1.6%
0.06896551724 4
 
1.6%
0.009280742459 4
 
1.6%
0.03377846791 3
 
1.2%
Other values (90) 122
48.4%
ValueCountFrequency (%)
0 60
23.8%
0.002151694459 1
 
0.4%
0.0027100271 4
 
1.6%
0.003091190108 1
 
0.4%
0.003105590062 1
 
0.4%
ValueCountFrequency (%)
0.1111111111 1
 
0.4%
0.06896551724 4
1.6%
0.05494505495 2
0.8%
0.05152979066 2
0.8%
0.05037037037 1
 
0.4%

persons_TP34_4_EDA
Real number (ℝ)

Distinct124
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1657644804
Minimum0
Maximum0.2857142857
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:51.478187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09148613846
Q10.1419753086
median0.1660377358
Q30.2023809524
95-th percentile0.2311729155
Maximum0.2857142857
Range0.2857142857
Interquartile range (IQR)0.06040564374

Descriptive statistics

Standard deviation0.04615087724
Coefficient of variation (CV)0.2784123421
Kurtosis1.028144327
Mean0.1657644804
Median Absolute Deviation (MAD)0.0312859628
Skewness-0.1863483918
Sum41.77264906
Variance0.00212990347
MonotonicityNot monotonic
2025-09-30T14:40:51.581025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2023809524 37
 
14.7%
0.2857142857 7
 
2.8%
0.1792929293 6
 
2.4%
0.1038961039 6
 
2.4%
0.1533333333 5
 
2.0%
0.1206896552 5
 
2.0%
0.2272727273 5
 
2.0%
0.1660377358 4
 
1.6%
0.1666666667 4
 
1.6%
0.1290322581 4
 
1.6%
Other values (114) 169
67.1%
ValueCountFrequency (%)
0 1
0.4%
0.02409638554 2
0.8%
0.04918032787 1
0.4%
0.06578947368 1
0.4%
0.07352941176 1
0.4%
ValueCountFrequency (%)
0.2857142857 7
2.8%
0.2404518558 1
 
0.4%
0.24 4
1.6%
0.2352941176 1
 
0.4%
0.2278010228 1
 
0.4%

persons_TP34_2_EDA
Real number (ℝ)

Zeros 

Distinct131
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1491213812
Minimum0
Maximum0.3333333333
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:51.679820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.09629652109
median0.1493801653
Q30.1887234841
95-th percentile0.2380952381
Maximum0.3333333333
Range0.3333333333
Interquartile range (IQR)0.09242696299

Descriptive statistics

Standard deviation0.05726913911
Coefficient of variation (CV)0.3840437812
Kurtosis-0.01214231949
Mean0.1491213812
Median Absolute Deviation (MAD)0.04674369748
Skewness0.09215685229
Sum37.57858807
Variance0.003279754294
MonotonicityNot monotonic
2025-09-30T14:40:51.775563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08928571429 37
 
14.7%
0.2380952381 7
 
2.8%
0.1022727273 6
 
2.4%
0.2337662338 6
 
2.4%
0.09090909091 5
 
2.0%
0.08 5
 
2.0%
0.02666666667 5
 
2.0%
0.0974675264 4
 
1.6%
0.2018561485 4
 
1.6%
0.1698113208 4
 
1.6%
Other values (121) 169
67.1%
ValueCountFrequency (%)
0 3
1.2%
0.02666666667 5
2.0%
0.0775862069 4
1.6%
0.08 5
2.0%
0.08695652174 1
 
0.4%
ValueCountFrequency (%)
0.3333333333 2
0.8%
0.2692307692 1
0.4%
0.2657342657 1
0.4%
0.2549019608 1
0.4%
0.25 1
0.4%

persons_TP34_1_EDA
Real number (ℝ)

Zeros 

Distinct127
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1285557811
Minimum0
Maximum0.2916666667
Zeros4
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:51.879184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06896551724
Q10.1044776119
median0.1193099691
Q30.1532258065
95-th percentile0.2145513577
Maximum0.2916666667
Range0.2916666667
Interquartile range (IQR)0.04874819451

Descriptive statistics

Standard deviation0.04368292768
Coefficient of variation (CV)0.3397974583
Kurtosis1.277879437
Mean0.1285557811
Median Absolute Deviation (MAD)0.02519870147
Skewness0.3093764088
Sum32.39605685
Variance0.001908198171
MonotonicityNot monotonic
2025-09-30T14:40:51.976506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1130952381 37
 
14.7%
0.09090909091 9
 
3.6%
0.1428571429 8
 
3.2%
0.12 6
 
2.4%
0.2184343434 6
 
2.4%
0.1818181818 5
 
2.0%
0.07555555556 5
 
2.0%
0.1324503311 4
 
1.6%
0 4
 
1.6%
0.1666666667 4
 
1.6%
Other values (117) 164
65.1%
ValueCountFrequency (%)
0 4
1.6%
0.02564102564 1
 
0.4%
0.04347826087 1
 
0.4%
0.05449275362 2
0.8%
0.05673758865 1
 
0.4%
ValueCountFrequency (%)
0.2916666667 1
0.4%
0.25 1
0.4%
0.2475247525 1
0.4%
0.2432432432 1
0.4%
0.2222222222 1
0.4%

persons_TP32_1_SEX
Real number (ℝ)

Distinct127
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4974031154
Minimum0.3513513514
Maximum0.7142857143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:52.074654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.3513513514
5-th percentile0.4342848115
Q10.4498737374
median0.4872463768
Q30.525862069
95-th percentile0.5845959596
Maximum0.7142857143
Range0.3629343629
Interquartile range (IQR)0.07598833159

Descriptive statistics

Standard deviation0.06017794896
Coefficient of variation (CV)0.1209842623
Kurtosis3.472676421
Mean0.4974031154
Median Absolute Deviation (MAD)0.03856710534
Skewness1.472397449
Sum125.3455851
Variance0.003621385541
MonotonicityNot monotonic
2025-09-30T14:40:52.183775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4404761905 37
 
14.7%
0.7142857143 7
 
2.8%
0.5 6
 
2.4%
0.5441919192 6
 
2.4%
0.5194805195 6
 
2.4%
0.5454545455 5
 
2.0%
0.56 5
 
2.0%
0.6666666667 4
 
1.6%
0.44 4
 
1.6%
0.4943396226 4
 
1.6%
Other values (117) 168
66.7%
ValueCountFrequency (%)
0.3513513514 1
0.4%
0.3888888889 1
0.4%
0.4018691589 1
0.4%
0.4074074074 1
0.4%
0.4117647059 1
0.4%
ValueCountFrequency (%)
0.7142857143 7
2.8%
0.6666666667 4
1.6%
0.5950413223 1
 
0.4%
0.5845959596 2
 
0.8%
0.5714285714 2
 
0.8%

persons_TP32_2_SEX
Real number (ℝ)

Distinct128
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5025968846
Minimum0.2857142857
Maximum0.6486486486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:52.293567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.2857142857
5-th percentile0.4154040404
Q10.474137931
median0.5127536232
Q30.5501262626
95-th percentile0.5657151885
Maximum0.6486486486
Range0.3629343629
Interquartile range (IQR)0.07598833159

Descriptive statistics

Standard deviation0.06017794896
Coefficient of variation (CV)0.119734027
Kurtosis3.472676421
Mean0.5025968846
Median Absolute Deviation (MAD)0.03856710534
Skewness-1.472397449
Sum126.6544149
Variance0.003621385541
MonotonicityNot monotonic
2025-09-30T14:40:52.396641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5595238095 37
 
14.7%
0.2857142857 7
 
2.8%
0.5 6
 
2.4%
0.4558080808 6
 
2.4%
0.4805194805 6
 
2.4%
0.4545454545 5
 
2.0%
0.5344827586 4
 
1.6%
0.44 4
 
1.6%
0.56 4
 
1.6%
0.5150812065 4
 
1.6%
Other values (118) 169
67.1%
ValueCountFrequency (%)
0.2857142857 7
2.8%
0.3333333333 4
1.6%
0.4049586777 1
 
0.4%
0.4154040404 2
 
0.8%
0.4285714286 2
 
0.8%
ValueCountFrequency (%)
0.6486486486 1
0.4%
0.6111111111 1
0.4%
0.5981308411 1
0.4%
0.5925925926 1
0.4%
0.5882352941 1
0.4%

persons_TP51POSTGR
Real number (ℝ)

Zeros 

Distinct64
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01169715779
Minimum0
Maximum0.1739130435
Zeros117
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:52.493320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.005731082501
Q30.01367630385
95-th percentile0.04385964912
Maximum0.1739130435
Range0.1739130435
Interquartile range (IQR)0.01367630385

Descriptive statistics

Standard deviation0.01981948559
Coefficient of variation (CV)1.694384734
Kurtosis21.36729703
Mean0.01169715779
Median Absolute Deviation (MAD)0.005731082501
Skewness3.741476505
Sum2.947683763
Variance0.000392812009
MonotonicityNot monotonic
2025-09-30T14:40:52.589321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
46.4%
0.0119047619 37
 
14.7%
0.05797101449 7
 
2.8%
0.01724137931 4
 
1.6%
0.01492537313 4
 
1.6%
0.04176334107 4
 
1.6%
0.006172839506 3
 
1.2%
0.03099730458 3
 
1.2%
0.005780346821 3
 
1.2%
0.03973509934 3
 
1.2%
Other values (54) 67
26.6%
ValueCountFrequency (%)
0 117
46.4%
0.003091190108 1
 
0.4%
0.003095975232 1
 
0.4%
0.003105590062 1
 
0.4%
0.003311258278 1
 
0.4%
ValueCountFrequency (%)
0.1739130435 1
 
0.4%
0.1073891626 2
 
0.8%
0.06918238994 1
 
0.4%
0.06060606061 1
 
0.4%
0.05797101449 7
2.8%

houses_TP9_1_USO
Real number (ℝ)

Distinct63
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9521281105
Minimum0.6111111111
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:52.695897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.6111111111
5-th percentile0.8271111893
Q10.9090909091
median0.988557947
Q31
95-th percentile1
Maximum1
Range0.3888888889
Interquartile range (IQR)0.09090909091

Descriptive statistics

Standard deviation0.07477001542
Coefficient of variation (CV)0.07852936448
Kurtosis7.736874217
Mean0.9521281105
Median Absolute Deviation (MAD)0.01144205304
Skewness-2.496893121
Sum239.9362838
Variance0.005590555205
MonotonicityNot monotonic
2025-09-30T14:40:52.822452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 117
46.4%
0.8923076923 37
 
14.7%
0.9696969697 5
 
2.0%
0.6111111111 4
 
1.6%
0.8888888889 4
 
1.6%
0.9124087591 4
 
1.6%
0.9221445221 3
 
1.2%
0.9523809524 3
 
1.2%
0.9866666667 3
 
1.2%
0.9636363636 3
 
1.2%
Other values (53) 69
27.4%
ValueCountFrequency (%)
0.6111111111 4
1.6%
0.6153846154 1
 
0.4%
0.6904761905 1
 
0.4%
0.6949152542 1
 
0.4%
0.7446808511 1
 
0.4%
ValueCountFrequency (%)
1 117
46.4%
0.9985683608 2
 
0.8%
0.9983471074 1
 
0.4%
0.9971284996 1
 
0.4%
0.9917708489 2
 
0.8%

houses_TP19_INTE1
Real number (ℝ)

Zeros 

Distinct124
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5249009148
Minimum0
Maximum1
Zeros4
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:52.913691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.178125
Q10.4285714286
median0.5384615385
Q30.6288249694
95-th percentile0.8408333333
Maximum1
Range1
Interquartile range (IQR)0.2002535408

Descriptive statistics

Standard deviation0.19804404
Coefficient of variation (CV)0.3772979516
Kurtosis0.2968977695
Mean0.5249009148
Median Absolute Deviation (MAD)0.102967033
Skewness-0.3655784013
Sum132.2750305
Variance0.03922144176
MonotonicityNot monotonic
2025-09-30T14:40:53.475351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5384615385 39
 
15.5%
0.5 17
 
6.7%
0.2857142857 7
 
2.8%
0.4285714286 6
 
2.4%
0.7307692308 6
 
2.4%
0.7484848485 5
 
2.0%
0.8888888889 4
 
1.6%
0 4
 
1.6%
0.6058394161 4
 
1.6%
0.5679012346 4
 
1.6%
Other values (114) 156
61.9%
ValueCountFrequency (%)
0 4
1.6%
0.02702702703 1
 
0.4%
0.03448275862 3
1.2%
0.1 1
 
0.4%
0.1351351351 1
 
0.4%
ValueCountFrequency (%)
1 2
0.8%
0.8918918919 1
 
0.4%
0.8916408669 1
 
0.4%
0.8888888889 4
1.6%
0.8727272727 1
 
0.4%

houses_TP19_GAS_1
Real number (ℝ)

Distinct107
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7781537383
Minimum0
Maximum1
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:53.576761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2857142857
Q10.640942029
median0.8333333333
Q30.950617284
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.309675255

Descriptive statistics

Standard deviation0.211708604
Coefficient of variation (CV)0.2720652663
Kurtosis1.463351264
Mean0.7781537383
Median Absolute Deviation (MAD)0.1282051282
Skewness-1.273690642
Sum196.0947421
Variance0.04482053301
MonotonicityNot monotonic
2025-09-30T14:40:53.671808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5846153846 37
 
14.7%
1 24
 
9.5%
0.8333333333 9
 
3.6%
0.1904761905 6
 
2.4%
0.9615384615 6
 
2.4%
0.9285714286 5
 
2.0%
0.8 5
 
2.0%
0.2857142857 5
 
2.0%
0.7 4
 
1.6%
0.950617284 4
 
1.6%
Other values (97) 147
58.3%
ValueCountFrequency (%)
0 2
 
0.8%
0.1904761905 6
2.4%
0.25 1
 
0.4%
0.2578125 1
 
0.4%
0.2857142857 5
2.0%
ValueCountFrequency (%)
1 24
9.5%
0.9891640867 1
 
0.4%
0.984375 1
 
0.4%
0.9833333333 1
 
0.4%
0.9824561404 1
 
0.4%

houses_TP19_ACU_1
Real number (ℝ)

Distinct91
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8970225817
Minimum0
Maximum1
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:53.777270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6448611111
Q10.8947745168
median0.9692307692
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1052254832

Descriptive statistics

Standard deviation0.1747636819
Coefficient of variation (CV)0.1948264018
Kurtosis11.37639094
Mean0.8970225817
Median Absolute Deviation (MAD)0.03076923077
Skewness-3.125851405
Sum226.0496906
Variance0.03054234451
MonotonicityNot monotonic
2025-09-30T14:40:53.889583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 67
26.6%
0.9692307692 37
 
14.7%
0.9285714286 6
 
2.4%
0.6845238095 6
 
2.4%
0.7142857143 6
 
2.4%
0.6666666667 4
 
1.6%
0.9166666667 4
 
1.6%
0.9 4
 
1.6%
0.962962963 4
 
1.6%
0.9562043796 4
 
1.6%
Other values (81) 110
43.7%
ValueCountFrequency (%)
0 1
0.4%
0.015625 1
0.4%
0.02564102564 1
0.4%
0.05 1
0.4%
0.08333333333 1
0.4%
ValueCountFrequency (%)
1 67
26.6%
0.9935064935 1
 
0.4%
0.9922600619 1
 
0.4%
0.9915397631 1
 
0.4%
0.9879518072 1
 
0.4%

houses_TP19_GAS_9
Real number (ℝ)

Zeros 

Distinct38
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02258654488
Minimum0
Maximum0.2857142857
Zeros178
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:53.991225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.007029267132
95-th percentile0.1666666667
Maximum0.2857142857
Range0.2857142857
Interquartile range (IQR)0.007029267132

Descriptive statistics

Standard deviation0.05725117723
Coefficient of variation (CV)2.534747015
Kurtosis9.18654579
Mean0.02258654488
Median Absolute Deviation (MAD)0
Skewness3.065278273
Sum5.69180931
Variance0.003277697294
MonotonicityNot monotonic
2025-09-30T14:40:54.090715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 178
70.6%
0.03333333333 9
 
3.6%
0.1666666667 7
 
2.8%
0.1904761905 6
 
2.4%
0.2857142857 5
 
2.0%
0.1 5
 
2.0%
0.01459854015 4
 
1.6%
0.1111111111 2
 
0.8%
0.0125 2
 
0.8%
0.0157480315 2
 
0.8%
Other values (28) 32
 
12.7%
ValueCountFrequency (%)
0 178
70.6%
0.001652892562 1
 
0.4%
0.003095975232 1
 
0.4%
0.003589375449 1
 
0.4%
0.004444444444 1
 
0.4%
ValueCountFrequency (%)
0.2857142857 5
2.0%
0.1904761905 6
2.4%
0.1666666667 7
2.8%
0.1111111111 2
 
0.8%
0.1 5
2.0%

houses_TP19_EE_E2
Real number (ℝ)

Zeros 

Distinct92
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3050668135
Minimum0
Maximum1
Zeros55
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:54.196068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01538461538
median0.06512605042
Q30.6666666667
95-th percentile0.9720982143
Maximum1
Range1
Interquartile range (IQR)0.6512820513

Descriptive statistics

Standard deviation0.3671631998
Coefficient of variation (CV)1.203550119
Kurtosis-1.020351558
Mean0.3050668135
Median Absolute Deviation (MAD)0.06512605042
Skewness0.7940461092
Sum76.87683701
Variance0.1348088153
MonotonicityNot monotonic
2025-09-30T14:40:54.299384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
21.8%
0.01538461538 37
 
14.7%
0.6666666667 7
 
2.8%
1 6
 
2.4%
0.3273809524 6
 
2.4%
0.4285714286 6
 
2.4%
0.03846153846 6
 
2.4%
0.6833333333 5
 
2.0%
0.8888888889 4
 
1.6%
0.503649635 4
 
1.6%
Other values (82) 116
46.0%
ValueCountFrequency (%)
0 55
21.8%
0.007672634271 2
 
0.8%
0.01025641026 4
 
1.6%
0.01408450704 1
 
0.4%
0.01538461538 37
14.7%
ValueCountFrequency (%)
1 6
2.4%
0.986463621 1
 
0.4%
0.9860681115 1
 
0.4%
0.9824561404 1
 
0.4%
0.9782608696 1
 
0.4%

houses_TP19_EE_E3
Real number (ℝ)

Zeros 

Distinct81
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4353940369
Minimum0
Maximum1
Zeros64
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:54.408726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2857142857
Q30.9384615385
95-th percentile0.9722222222
Maximum1
Range1
Interquartile range (IQR)0.9384615385

Descriptive statistics

Standard deviation0.4145910051
Coefficient of variation (CV)0.9522202189
Kurtosis-1.762572285
Mean0.4353940369
Median Absolute Deviation (MAD)0.2857142857
Skewness0.2042367071
Sum109.7192973
Variance0.1718857015
MonotonicityNot monotonic
2025-09-30T14:40:54.521888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
25.4%
0.9384615385 37
 
14.7%
1 9
 
3.6%
0.08333333333 7
 
2.8%
0.2857142857 6
 
2.4%
0.8076923077 6
 
2.4%
0.4285714286 5
 
2.0%
0.15 5
 
2.0%
0.9722222222 4
 
1.6%
0.4379562044 4
 
1.6%
Other values (71) 105
41.7%
ValueCountFrequency (%)
0 64
25.4%
0.001547987616 1
 
0.4%
0.001692047377 1
 
0.4%
0.004784688995 1
 
0.4%
0.008614501077 1
 
0.4%
ValueCountFrequency (%)
1 9
3.6%
0.9875 2
 
0.8%
0.9722222222 4
1.6%
0.9677419355 1
 
0.4%
0.9642857143 1
 
0.4%

houses_TP19_EE_E5
Real number (ℝ)

Zeros 

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005751067552
Minimum0
Maximum0.1428571429
Zeros231
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:54.589665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03044496487
Maximum0.1428571429
Range0.1428571429
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02472468202
Coefficient of variation (CV)4.299146515
Kurtosis20.52739347
Mean0.005751067552
Median Absolute Deviation (MAD)0
Skewness4.594379128
Sum1.449269023
Variance0.0006113099011
MonotonicityNot monotonic
2025-09-30T14:40:54.679033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 231
91.7%
0.09523809524 6
 
2.4%
0.1428571429 5
 
2.0%
0.007299270073 4
 
1.6%
0.04761904762 2
 
0.8%
0.01639344262 2
 
0.8%
0.001547987616 1
 
0.4%
0.004784688995 1
 
0.4%
ValueCountFrequency (%)
0 231
91.7%
0.001547987616 1
 
0.4%
0.004784688995 1
 
0.4%
0.007299270073 4
 
1.6%
0.01639344262 2
 
0.8%
ValueCountFrequency (%)
0.1428571429 5
2.0%
0.09523809524 6
2.4%
0.04761904762 2
 
0.8%
0.01639344262 2
 
0.8%
0.007299270073 4
1.6%

houses_TP19_EE_E6
Real number (ℝ)

Zeros 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.514962145 × 10-5
Minimum0
Maximum0.001431639227
Zeros248
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:54.773855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001431639227
Range0.001431639227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001338490797
Coefficient of variation (CV)8.835143516
Kurtosis100.4829042
Mean1.514962145 × 10-5
Median Absolute Deviation (MAD)0
Skewness9.84841
Sum0.003817704605
Variance1.791557614 × 10-8
MonotonicityNot monotonic
2025-09-30T14:40:54.835114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 248
98.4%
0.001431639227 2
 
0.8%
0.0004772130756 2
 
0.8%
ValueCountFrequency (%)
0 248
98.4%
0.0004772130756 2
 
0.8%
0.001431639227 2
 
0.8%
ValueCountFrequency (%)
0.001431639227 2
 
0.8%
0.0004772130756 2
 
0.8%
0 248
98.4%

houses_TP15_1_OCU
Real number (ℝ)

Distinct81
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93418025
Minimum0
Maximum1
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:54.926953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7105042017
Q10.9166666667
median0.9692307692
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.08333333333

Descriptive statistics

Standard deviation0.1061956316
Coefficient of variation (CV)0.1136778814
Kurtosis25.15058213
Mean0.93418025
Median Absolute Deviation (MAD)0.03076923077
Skewness-3.957546093
Sum235.413423
Variance0.01127751217
MonotonicityNot monotonic
2025-09-30T14:40:55.021018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 78
31.0%
0.9692307692 37
 
14.7%
0.9166666667 13
 
5.2%
0.9285714286 6
 
2.4%
0.987654321 4
 
1.6%
0.9562043796 4
 
1.6%
0.9 4
 
1.6%
0.6666666667 4
 
1.6%
0.8555555556 3
 
1.2%
0.8269230769 3
 
1.2%
Other values (71) 96
38.1%
ValueCountFrequency (%)
0 1
0.4%
0.5625 2
0.8%
0.5820512821 1
0.4%
0.6071428571 1
0.4%
0.6136363636 1
0.4%
ValueCountFrequency (%)
1 78
31.0%
0.9935064935 1
 
0.4%
0.9922600619 1
 
0.4%
0.9915397631 1
 
0.4%
0.987654321 4
 
1.6%

houses_TP14_2_TIP
Real number (ℝ)

Zeros 

Distinct118
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4017255423
Minimum0
Maximum0.9913854989
Zeros22
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:55.133558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1460084034
median0.4565738245
Q30.5833333333
95-th percentile0.8461538462
Maximum0.9913854989
Range0.9913854989
Interquartile range (IQR)0.43732493

Descriptive statistics

Standard deviation0.2672301411
Coefficient of variation (CV)0.665205751
Kurtosis-1.062226518
Mean0.4017255423
Median Absolute Deviation (MAD)0.2224385212
Skewness0.0470313624
Sum101.2348367
Variance0.0714119483
MonotonicityNot monotonic
2025-09-30T14:40:55.245854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5384615385 37
 
14.7%
0 22
 
8.7%
0.1428571429 7
 
2.8%
0.1369047619 6
 
2.4%
0.8461538462 6
 
2.4%
0.2636363636 5
 
2.0%
0.5 4
 
1.6%
0.9 4
 
1.6%
0.5555555556 4
 
1.6%
0.6790123457 4
 
1.6%
Other values (108) 153
60.7%
ValueCountFrequency (%)
0 22
8.7%
0.01612903226 1
 
0.4%
0.02173913043 2
 
0.8%
0.02380952381 2
 
0.8%
0.025 1
 
0.4%
ValueCountFrequency (%)
0.9913854989 1
 
0.4%
0.9851239669 1
 
0.4%
0.9846547315 2
 
0.8%
0.9 4
1.6%
0.8461538462 6
2.4%

houses_TP9_2_USO
Real number (ℝ)

Zeros 

Distinct63
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0478718895
Minimum0
Maximum0.3888888889
Zeros117
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:55.350045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01144205304
Q30.09090909091
95-th percentile0.1728888107
Maximum0.3888888889
Range0.3888888889
Interquartile range (IQR)0.09090909091

Descriptive statistics

Standard deviation0.07477001542
Coefficient of variation (CV)1.561877256
Kurtosis7.736874217
Mean0.0478718895
Median Absolute Deviation (MAD)0.01144205304
Skewness2.496893121
Sum12.06371615
Variance0.005590555205
MonotonicityNot monotonic
2025-09-30T14:40:55.475252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
46.4%
0.1076923077 37
 
14.7%
0.0303030303 5
 
2.0%
0.3888888889 4
 
1.6%
0.1111111111 4
 
1.6%
0.08759124088 4
 
1.6%
0.07785547786 3
 
1.2%
0.04761904762 3
 
1.2%
0.01333333333 3
 
1.2%
0.03636363636 3
 
1.2%
Other values (53) 69
27.4%
ValueCountFrequency (%)
0 117
46.4%
0.001431639227 2
 
0.8%
0.001652892562 1
 
0.4%
0.002871500359 1
 
0.4%
0.00822915106 2
 
0.8%
ValueCountFrequency (%)
0.3888888889 4
1.6%
0.3846153846 1
 
0.4%
0.3095238095 1
 
0.4%
0.3050847458 1
 
0.4%
0.2553191489 1
 
0.4%

houses_TP14_6_TIP
Real number (ℝ)

Zeros 

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002400396946
Minimum0
Maximum0.125
Zeros233
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:55.565593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02380952381
Maximum0.125
Range0.125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0113333945
Coefficient of variation (CV)4.721466806
Kurtosis58.38005653
Mean0.002400396946
Median Absolute Deviation (MAD)0
Skewness6.700286454
Sum0.6049000305
Variance0.000128445831
MonotonicityNot monotonic
2025-09-30T14:40:55.628235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 233
92.5%
0.04166666667 9
 
3.6%
0.02380952381 3
 
1.2%
0.00214745884 2
 
0.8%
0.0007158196135 2
 
0.8%
0.0007178750897 1
 
0.4%
0.125 1
 
0.4%
0.02702702703 1
 
0.4%
ValueCountFrequency (%)
0 233
92.5%
0.0007158196135 2
 
0.8%
0.0007178750897 1
 
0.4%
0.00214745884 2
 
0.8%
0.02380952381 3
 
1.2%
ValueCountFrequency (%)
0.125 1
 
0.4%
0.04166666667 9
3.6%
0.02702702703 1
 
0.4%
0.02380952381 3
 
1.2%
0.00214745884 2
 
0.8%

houses_TP15_2_OCU
Real number (ℝ)

Zeros 

Distinct29
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00652515548
Minimum0
Maximum0.2
Zeros208
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:55.704741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03846153846
Maximum0.2
Range0.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02072667792
Coefficient of variation (CV)3.176426674
Kurtosis35.74970167
Mean0.00652515548
Median Absolute Deviation (MAD)0
Skewness5.207080556
Sum1.644339181
Variance0.0004295951776
MonotonicityNot monotonic
2025-09-30T14:40:55.790672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 208
82.5%
0.01388888889 3
 
1.2%
0.03846153846 3
 
1.2%
0.01724137931 3
 
1.2%
0.01785714286 3
 
1.2%
0.02941176471 3
 
1.2%
0.09375 2
 
0.8%
0.04545454545 2
 
0.8%
0.02564102564 2
 
0.8%
0.004056311143 2
 
0.8%
Other values (19) 21
 
8.3%
ValueCountFrequency (%)
0 208
82.5%
0.0007178750897 1
 
0.4%
0.004056311143 2
 
0.8%
0.004444444444 1
 
0.4%
0.01216893343 2
 
0.8%
ValueCountFrequency (%)
0.2 1
0.4%
0.1025641026 1
0.4%
0.1 1
0.4%
0.09375 2
0.8%
0.07936507937 1
0.4%

houses_TP14_4_TIP
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.029797426 × 10-5
Minimum0
Maximum0.002557544757
Zeros250
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:55.857748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.002557544757
Range0.002557544757
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0002273898701
Coefficient of variation (CV)11.20258934
Kurtosis123.467904
Mean2.029797426 × 10-5
Median Absolute Deviation (MAD)0
Skewness11.1574205
Sum0.005115089514
Variance5.170615304 × 10-8
MonotonicityNot monotonic
2025-09-30T14:40:55.920360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
99.2%
0.002557544757 2
 
0.8%
ValueCountFrequency (%)
0 250
99.2%
0.002557544757 2
 
0.8%
ValueCountFrequency (%)
0.002557544757 2
 
0.8%
0 250
99.2%

homes_TP27_PERSO
Real number (ℝ)

Distinct130
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.787591889
Minimum1.5
Maximum4.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:56.003880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile1.754166667
Q12.597173346
median2.791666667
Q33.120689655
95-th percentile3.409090909
Maximum4.4
Range2.9
Interquartile range (IQR)0.5235163088

Descriptive statistics

Standard deviation0.4748821249
Coefficient of variation (CV)0.1703556847
Kurtosis0.7748216733
Mean2.787591889
Median Absolute Deviation (MAD)0.2595521255
Skewness-0.3657342844
Sum702.473156
Variance0.2255130326
MonotonicityNot monotonic
2025-09-30T14:40:56.104206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.625 37
 
14.7%
3.222222222 9
 
3.6%
1.75 7
 
2.8%
2.962962963 6
 
2.4%
2.961538462 6
 
2.4%
2.444444444 5
 
2.0%
1.757575758 5
 
2.0%
2.24952381 4
 
1.6%
2.5 4
 
1.6%
3.3125 4
 
1.6%
Other values (120) 165
65.5%
ValueCountFrequency (%)
1.5 3
1.2%
1.636363636 2
 
0.8%
1.666666667 1
 
0.4%
1.75 7
2.8%
1.757575758 5
2.0%
ValueCountFrequency (%)
4.4 1
0.4%
4 1
0.4%
3.857142857 1
0.4%
3.777777778 1
0.4%
3.731707317 1
0.4%

causa_retiro
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4325396825
Minimum0
Maximum1
Zeros143
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-09-30T14:40:56.189960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.496414132
Coefficient of variation (CV)1.147673039
Kurtosis-1.940407071
Mean0.4325396825
Median Absolute Deviation (MAD)0
Skewness0.2739648032
Sum109
Variance0.2464269905
MonotonicityNot monotonic
2025-09-30T14:40:56.252561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 143
56.7%
1 109
43.3%
ValueCountFrequency (%)
0 143
56.7%
1 109
43.3%
ValueCountFrequency (%)
1 109
43.3%
0 143
56.7%